In this module, you’ll learn the foundations of working with R to explore categorical financial data. You’ll start by setting up R, managing packages, and inspecting data frames to understand their structure and data types. Then, you’ll apply frequency analysis using simple commands, such as table() and count(), to identify activity patterns across departments, vendors, and expense categories. Through guided practice, hands-on labs, and interactive coaching, you’ll build confidence in interpreting categorical patterns and preparing financial data for deeper analysis.
Analyze Data: Visualize, Summarize, and R
Analyze Data: Visualize, Summarize, and R
This course is part of Quantitative Finance & Risk Modeling Specialization
Instructor: ansrsource instructors
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Intermediate level
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2 hours to complete
Flexible schedule
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Recently updated!
January 2026
Taught in English
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This course is part of the Quantitative Finance & Risk Modeling Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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